Jan Kalina

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Petra VidnerováThe Czech Academy of Sciences, Institute of Computer ScienceVerified email at cs.cas.cz
Bohdan SchneiderHead of Laboratory of Biomolecular Rcognition and Dir, Institute of Biotechnology, Czech AcademyVerified email at ibt.cas.cz
Marek OmelkaCharles University in Prague, Department of StatisticsVerified email at karlin.mff.cuni.cz
Jan PicekTechnická univerzita v LiberciVerified email at tul.cz
Anna SchlenkerFBMI ČVUTVerified email at fbmi.cvut.cz
Daniel SvozilVerified email at vscht.cz
Zdeněk ValentaInstitute of Computer Science, Czech Academy of SciencesVerified email at fulbrightmail.org
Jaroslav HlinkaInstitute of Computer Science, Czech Academy of SciencesVerified email at cs.cas.cz
Karel ZváraVerified email at zvara.cz
Libor SeidlHL7 Czech RepublicVerified email at euromise.com
Patrik KutilekCzech technical university in PragueVerified email at fbmi.cvut.cz
Prof. Amitava MukherjeeXLRI - Xavier School of Management, Jamshedpur, IndiaVerified email at xlri.ac.in
Martin HolenaVerified email at cs.cas.cz
Lubomír SoukupInstitute of Information Theory and AutomationVerified email at utia.cas.cz
Zbyněk PitraPhD Student, Faculty of Nuclear Sciences and Physical Engineering, Czech Technical University inVerified email at fjfi.cvut.cz
Yeşim GüneyAnkara ÜniversitesiVerified email at ankara.edu.tr
Jureckova J*professor of mathematical statistics, Charles UniversityVerified email at karlin.mff.cuni.cz
Jiří TumpachCharles University

Jan Kalina

The Czech Academy of Sciences, Institute of Computer Science

Verified email at cs.cas.cz - Homepage

Robust statistics High-dimensional Data Analysis


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DNA conformations and their sequence preferences D Svozil, J Kalina, M Omelka, B Schneider Nucleic acids research 36 (11), 3690-3706, 2008	236	2008
Nonparametric multivariate rank tests and their unbiasedness J Jurečková, J Kalina	82	2012
Classification methods for high-dimensional genetic data J Kalina Biocybernetics and Biomedical Engineering 34 (1), 10-18, 2014	70	2014
Outlier detection by means of robust regression estimators for use in engineering science S Hekimoglu, RC Erenoglu, J Kalina Journal of Zhejiang university-science A 10, 909-921, 2009	34	2009
Implicitly weighted methods in robust image analysis J Kalina Journal of Mathematical Imaging and Vision 44, 449-462, 2012	33	2012
A Robust Supervised Variable Selection for Noisy High-Dimensional Data J Kalina, A Schlenker BioMed Research International 1, 2, 2015	31	2015
On robust estimation of error variance in (highly) robust regression J Kalina, J Tichavský Measurement Science Review 20 (1), 6-14, 2020	25	2020
R-estimation of the parameters of a multiple regression model with measurement errors E Saleh, J Picek, J Kalina Metrika 75 (3), 311-328, 2012	23	2012
Highly robust methods in data mining J Kalina Serbian journal of management 8 (1), 9-24, 2013	21	2013
On robust information extraction from high-dimensional data J Kalina Serbian Journal of Management 9 (1), 131-144, 2014	20	2014
On multivariate methods in robust econometrics J Kalina Prague economic papers 21 (1), 69-82, 2012	20	2012
A robust pre-processing of BeadChip microarray images J Kalina Biocybernetics and Biomedical Engineering 38 (3), 556-563, 2018	19	2018
Three contributions to robust regression diagnostics J Kalina Journal of Applied Mathematics, Statistics and Informatics 11 (2), 69-78, 2015	19	2015
Highly Robust Statistical Methods in Medicai Image Analysis K Jan Biocybernetics and Biomedical Engineering 32 (2), 3-16, 2012	19	2012
Interpoint distance tests for high-dimensional comparison studies M Marozzi, A Mukherjee, J Kalina Journal of Applied Statistics 47 (4), 653-665, 2020	18	2020
Algorithms for regularized linear discriminant analysis J Kalina, J Duintjer Tebbens Proceedings of the 6th International Conference on Bioinformatics Models …, 2015	18	2015
Decision Support Systems in the Process of Improving Patient Safety J Kalina, J Zvárová E-Health Technologies and Improving Patient Safety: Exploring Organizational …, 2013	18	2013
Determinants of excess genetic risk of acute myocardial infarction-a matched case-control study Z Valenta, I Mazura, M Kolár, H Grünfeldová, P Feglarová, J Peleška, ... Eur J Biomed Inform 8 (1), 34-43, 2012	18	2012
How to reduce dimensionality of data: Robustness point of view J Kalina, D Rensová Serbian Journal of Management 10 (1), 131-140, 2015	14	2015
A sparse pair-preserving centroid-based supervised learning method for high-dimensional biomedical data or images J Kalina, C Matonoha Biocybernetics and Biomedical Engineering 40 (2), 774-786, 2020	11	2020

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